听觉感知在辐射源个体识别中的应用研究

项目名称： 听觉感知在辐射源个体识别中的应用研究

项目编号： No.61301286

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 无线电电子学、电信技术

项目作者： 朱明哲

作者单位： 西安电子科技大学

项目金额： 24万元

中文摘要： 辐射源个体识别面临复杂的电磁环境感知问题，截获方需要在噪声和多径干扰、有意调制信号混合及信号不完整等不利条件下，唯一地识别辐射源个体。而人类的听觉感知系统在类似的复杂环境中，往往能够较好地捕捉目标语音的信号特征，从而辅助大脑作出最终判决。因此，可以通过分析听觉感知和电磁环境感知的共性，建立或改进适用于辐射源个体识别的听觉感知模型，力求为后续识别提供无失真的增强信号及调制分类信息。本项目针对听觉感知和电磁环境感知的交叉领域，在语谱图类时频分析的框架下展开研究，主要内容包括：(1)复杂噪声下基于听觉掩蔽效应的辐射源信号增强；(2)基于听觉期望现象的辐射源信号时频稀疏重构和瞬时频率估计；(3)基于听觉主观评价准则的辐射源威胁信号感知，包括威胁信号有意调制识别和威胁度定量分析。

中文关键词： 辐射源个体识别；听觉感知；电磁环境感知；机器学习；时频分析

英文摘要： The task of the radar specific emitter recognition is facing with new challenges of more complex electromagnetic environments. The intercepter needs to identify specific emitters under the conditions of complex noises, multipath interferences, the mixture of intentional modulation signals and the lack of signal information. In the meanwhile, when our auditory perception system facing the similar complicated condition, it can always catch the feature of the target speech and impel the decision made by our brain. Therefore, we try to firstly find the common points of both the auditory perception phenomenon and the electromagnetic environment cognition. Then we can apply the improved computational auditory scene analysis (CASA) to the frontend of the radar specific emitter recognition. Finally, the electromagnetic environment cognitive frontend of high performance is highly desired to provide distortionless enhanced signals and classification information for the subsequent recognition processing. This project aims on the crossing field of the auditory perception and the electromagnetic environment cognition. The research is conducted in the framework of time-frequency analysis similar to the spectrogram. The main content includes: (1) Auditory masking effect based emitter signal enhancement under the complex noise

英文关键词： specific emitter recognition；auditory perception；electromagnetic environment cognition；machine learning；time-frequency analysis